Partial storage optimization and load control strategy of cloud data centers

Klaithem Al Nuaimi; Nader Mohamed; Mariam Al Nuaimi; Jameela Al-Jaroodi

doi:10.1155/2015/836561

Partial storage optimization and load control strategy of cloud data centers

Klaithem Al Nuaimi, Nader Mohamed, Mariam Al Nuaimi, Jameela Al-Jaroodi

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

We present a novel approach to solve the cloud storage issues and provide a fast load balancing algorithm. Our approach is based on partitioning and concurrent dual direction download of the files from multiple cloud nodes. Partitions of the files are saved on the cloud rather than the full files, which provide a good optimization to the cloud storage usage. Only partial replication is used in this algorithm to ensure the reliability and availability of the data. Our focus is to improve the performance and optimize the storage usage by providing the DaaS on the cloud. This algorithm solves the problem of having to fully replicate large data sets, which uses up a lot of precious space on the cloud nodes. Reducing the space needed will help in reducing the cost of providing such space. Moreover, performance is also increased since multiple cloud servers will collaborate to provide the data to the cloud clients in a faster manner.

Original language	English
Article number	836561
Journal	Scientific World Journal
Volume	2015
DOIs	https://doi.org/10.1155/2015/836561
Publication status	Published - 2015

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Environmental Science(all)

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Partial storage optimization and load control strategy of cloud data centers

Abstract

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